GTR are recruiting a ​​​​Data Engineer​​ based out of Monument Place

This is a great opportunity for an individual with a proven track record to work for one of the country's busiest and award-winning rail companies.

Job Purpose 

​​ ​​As a Data Engineer, you will design, build and maintain high‑quality data models and pipelines within GTR's DataHub platform to enable trusted reporting, analytics and advanced machine learning use‑cases. You will work closely with analysts across the business to translate requirements into performant, well governed data products that support both operational insight and future predictive work. 

​While the role is primarily technical, you will be expected to demonstrate sufficient business understanding to work effectively with subject matter experts, understand end-to-end use‑cases, and deliver data solutions that genuinely meet operational and decision‑making needs.​ 

Anticipated interview dates:

First stage: w/c 06 July 2026 (Teams)

Second stage: TBC (in person, Monument Place)

Key Accountabilities: 

• ​​​ ​​​Design, build and maintain curated data models within the DataHub platform (including Lakehouse, Warehouse and semantic models) to support reporting, analytics and downstream ML use cases. 
• ​Accountable for data quality and engineering standards up to the semantic model layer; report creation and interpretation sit with Pro licence holders in the business. 
• ​Develop, maintain and monitor ETL / ELT pipelines using Microsoft Fabric pipelines and associated tooling. 
• ​Work closely with analysts and SMEs across the business to understand requirements, shape use cases and translate these into robust data solutions. 
• ​Support delivery across the full project lifecycle, from initial scoping and design through development, testing and controlled deployment. 
• ​Ensure data models are performant, scalable, well documented and aligned to agreed architectural and governance standards. 
• ​Collaborate with the Insight & Governance team to ensure data structures are suitable for machine learning, predictive analytics and AI workloads. 
• ​Contribute to data quality monitoring, issue resolution and continuous improvement of existing datasets. 
• ​Adhere to agreed platform governance, deployment and change management processes (Dev / UAT / Production).​​ 

Context:

The DataHub platform is built on Microsoft Fabric and underpins analytics across GTR. Historically engineering has been delivered via a managed service provider; this role supports the transition to a blended model with increased in‑house capability

While strategic ownership sits with the Head of Data & AI, the Platform Lead holds day‑to‑day accountability for the safe and effective operation of the DataHub platform

DataHub is a large‑scale enterprise platform, serving over 2,000 users, integrating with 50+ systems and encompassing more than 40 data products 

The Platform Lead is accountable for the day‑to‑day management and operational integrity of this end‑to‑end ecosystem, ensuring all components function cohesively

The role requires a strong understanding of how data models, pipelines, reporting and access controls interconnect, along with the ability to manage escalations from a wide range of stakeholders across the business

This demands a high degree of technical judgement to resolve issues quickly while maintaining platform stability, governance and long‑term sustainability

The complexity of the platform will continue to increase as wider industry stakeholders, including Network Rail, DfTO and GBR/GBRX initiatives, require access, introducing additional integration, governance and operational risk considerations that must be managed effectively 

Knowledge:

• ​​ ​​ Strong understanding of data engineering principles, including data modelling, ETL / ELT and pipeline orchestration. 
• ​Good understanding of medallion architecture (Bronze / Silver / Gold) and analytical data modelling patterns. 
• ​Awareness of how data models support advanced analytics, machine learning and AI use cases. 

Skills:

• ​​ Strong SQL and data transformation skills. 
• Experience working with Microsoft Fabric, including Lakehouse, Warehouse, semantic models, notebooks and pipelines. 
• Ability to engage constructively with non-technical stakeholders and understand business context and constraints. 
• Strong documentation skills and attention to detail. 

Experience:

• ​​ ​​ ​​Experience delivering data engineering solutions in an enterprise or large-scale environment. 
• ​Experience supporting reporting and analytics platforms (e.g. Power BI). 
• ​Experience working within formal delivery, governance and change management processes. 
• ​Degree in Data Science, Computer Science, Statistics, Mathematics or related discipline or equivalent experience. 
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What we can offer you 

• Final salary pension 
• 25 days holiday plus bank holidays 
• Healthcare 
• Free travel on GTR and sister groups for you and your family 
• 75% off travel on other train operating companies for you, and leisure for your family 
• Discounted Oyster Card 
• GTR offers maternity, paternity and adoption leave and time off for prenatal care, as well as shared parental leave - all part of our commitment to family friendly policies 
• StarHub – our great benefits package which, for example, includes discounts with many retailers.